Chidinma Akah

•Developed complete processing API pipelines and machine learning models in Azure Databricks, automating satellite data into actionable insights for agribusiness. •Designed interactive Power BI dashboards with automated updates for meteorological data, enhancing data visualization for strategic decision-making. •Built a monitoring system on Google Earth Engine, analyzing time series data and vegetation indices to track growing conditions and optimize hazelnut management.

• Developed a new algorithm to process and extract values from UAV Lidar data contributing to precision agriculture and forestry applications. • Collaborated with the development team to adapt efficient workflows for thermal data extraction using a multi-camera approach in Agisoft Metashape, ensuring the delivery of high-quality analytics. • Maintained pipeline processes and technical documentation by generating detailed reports, maintaining accuracy and usability for internal stakeholders.

With a focus on Geospatial data analysis, Remote sensing techniques, Machine learning for earth observation, Statistical, and Time-series analysis, the program provided a comprehensive understanding of analyzing geospatial data and integrating remote sensing with statistical methods.